Nada Hashmi
About
In The Last Decade
Nada Hashmi
3 papers receiving 1.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nada Hashmi United States | 3 | 384 | 364 | 216 | 181 | 179 | 4 | 1.6k | ||
| Jeremy Birnholtz United States | 31 | 550 1.4× | 1.3k 3.7× | 425 2.0× | 601 3.3× | 225 1.3× | 98 | 3.2k | ||
| Nancy Pennington United States | 20 | 571 1.5× | 621 1.7× | 227 1.1× | 124 0.7× | 260 1.5× | 26 | 3.3k | ||
| Mary L. Gray United States | 18 | 265 0.7× | 928 2.5× | 234 1.1× | 211 1.2× | 336 1.9× | 44 | 1.9k | ||
| Eric P. S. Baumer United States | 28 | 230 0.6× | 1.2k 3.2× | 65 0.3× | 439 2.4× | 212 1.2× | 93 | 3.1k | ||
| Eva E. Chen United States | 20 | 359 0.9× | 449 1.2× | 71 0.3× | 46 0.3× | 64 0.4× | 61 | 1.8k | ||
| Joann Keyton United States | 23 | 619 1.6× | 665 1.8× | 163 0.8× | 343 1.9× | 33 0.2× | 90 | 2.4k | ||
| Coye Cheshire United States | 22 | 147 0.4× | 777 2.1× | 44 0.2× | 359 2.0× | 178 1.0× | 54 | 1.4k | ||
| Hichang Cho Singapore | 27 | 236 0.6× | 1.8k 4.9× | 157 0.7× | 636 3.5× | 236 1.3× | 67 | 2.9k | ||
| Eileen Scanlon United Kingdom | 38 | 214 0.6× | 625 1.7× | 64 0.3× | 282 1.6× | 803 4.5× | 203 | 4.1k | ||
| Holly Arrow United States | 17 | 1.2k 3.2× | 729 2.0× | 120 0.6× | 581 3.2× | 51 0.3× | 38 | 2.4k |
Countries citing papers authored by Nada Hashmi
This map shows the geographic impact of Nada Hashmi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nada Hashmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Hashmi more than expected).
Fields of papers citing papers by Nada Hashmi
This network shows the impact of papers produced by Nada Hashmi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nada Hashmi. The network helps show where Nada Hashmi may publish in the future.
Co-authorship network of co-authors of Nada Hashmi
This figure shows the co-authorship network connecting the top 25 collaborators of Nada Hashmi. A scholar is included among the top collaborators of Nada Hashmi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nada Hashmi. Nada Hashmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.